A Modeling Methodology for Assessing Learning in Complex Domains

J. Michael Spector

A Modeling Methodology for Assessing Learning in Complex Domains

In: Model-Based Approaches to Learning

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J. Michael Spector

J. Michael Spector Florida State University Learning Systems Institute

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Type:: Chapter

Pages:: 163–177

DOI:: https://doi.org/10.1163/9789087907112_011

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People confront a variety of types of problems. In some cases, a problem type has well-defined aspects that can be used to structure learning experiences and assess performance. However, this is not always the case. There are many ill-structured problems that are important to individuals as well as to society. Structuring experiences to promote learning and improve performance in responding to such problems is a challenge. A critical part of this challenge is devising assessment methods to indicate which alternative instructional approaches and methods are effective in various situations with different learners. This chapter presents an assessment methodology based on causal models that appears to predict relative level of expertise, at least in some complex problem domains.

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Model-Based Approaches to Learning

Using Systems Models and Simulations to Improve Understanding and Problem Solving in Complex Domains

Series: Modeling and Simulation for Learning and Instruction, Volume: 4

Cover Model-Based Approaches to Learning

E-Book ISBN:: 9789087907112

Publisher:: Brill

Print Publication Date:: 01 Jan 2009

Subjects
- Education
  - Educational Technology

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A Modeling Methodology for Assessing Learning in Complex Domains

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Model-Based Approaches to Learning

Using Systems Models and Simulations to Improve Understanding and Problem Solving in Complex Domains

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